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simantabarua 
published a Space 6 days ago
Tonic 
posted an update 21 days ago
smirki 
posted an update 26 days ago
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2025
Just dropped! Tesslate/UIGEN-X-32B-0727 Runs Locally and Crushes It. Reasoning for UI, Mobile, Software and Frontend design.

Specifically trained for modern web and mobile development across frameworks like React (Next.js, Remix, Gatsby, Vite), Vue (Nuxt, Quasar), Angular (Angular CLI, Ionic), and SvelteKit, along with Solid.js, Qwik, Astro, and static site tools like 11ty and Hugo. Styling options include Tailwind CSS, CSS-in-JS (Styled Components, Emotion), and full design systems like Carbon and Material UI. We cover UI libraries for every framework React (shadcn/ui, Chakra, Ant Design), Vue (Vuetify, PrimeVue), Angular, and Svelte plus headless solutions like Radix UI. State management spans Redux, Zustand, Pinia, Vuex, NgRx, and universal tools like MobX and XState. For animation, we support Framer Motion, GSAP, and Lottie, with icons from Lucide, Heroicons, and more. Beyond web, we enable React Native, Flutter, and Ionic for mobile, and Electron, Tauri, and Flutter Desktop for desktop apps. Python integration includes Streamlit, Gradio, Flask, and FastAPI. All backed by modern build tools, testing frameworks, and support for 26+ languages and UI approaches, including JavaScript, TypeScript, Dart, HTML5, CSS3, and component-driven architectures.
Tonic 
posted an update about 1 month ago
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👋 Hey there folks,

just submitted my plugin idea to the G-Assist Plugin Hackathon by @nvidia . Check it out, it's a great way to use a local SLA model on a windows machine to easily and locally get things done ! https://github.com/NVIDIA/G-Assist
Tonic 
posted an update about 1 month ago
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🙋🏻‍♂️ Hey there folks ,

Yesterday , Nvidia released a reasoning model that beats o3 on science, math and coding !

Today you can try it out here : Tonic/Nvidia-OpenReasoning

hope you like it !
Tonic 
posted an update about 1 month ago
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3318
🙋🏻‍♂️ Normalize adding compute & runtime traces to your model cards
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Tonic 
posted an update about 2 months ago
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Who's going to Raise Summit in Paris Tomorrow ?

If you're around , I would love to meet you :-)
Tonic 
posted an update 3 months ago
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🙋🏻‍♂️ hey there folks ,

So every bio/med/chem meeting i go to i always the same questions "why are you sharing a gdrive link with me for this?" and "Do you have any plans to publish your model weights and datasets on huggingface?" and finally i got a good answer today which explains everything :

basically there is some kind of government censorship on this (usa, but i'm sure others too) and they are told they are not allowed as it is considered a "dataleak" which is illegal !!!!

this is terrible ! but the good news is that we can do something about it !

so there is this "call for opinions and comments" here from the NIH (usa) , and here we can make our opinion on this topic known : https://osp.od.nih.gov/comment-form-responsibly-developing-and-sharing-generative-artificial-intelligence-tools-using-nih-controlled-access-data/

kindly consider dropping your opinion and thoughts about this censorship of science , and share this post , link or thoughts widely .

Together maybe we can start to share data and model weights appropriately and openly in a good way 🙏🏻🚀

cc. @cyrilzakka

Tonic 
posted an update 3 months ago
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🙋🏻‍♂️ Hey there folks ,

Yesterday the world's first "Learn to Vibe Code" application was released .

As vibe coding is the mainstream paradigm , so now the first educational app is there to support it .

You can try it out already :

https://vibe.takara.ai

and of course it's entirely open source, so i already made my issue and feature branch :-) 🚀
smirki 
posted an update 3 months ago
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✨ We’re live! Introducing TFrameX, the agentic framework for AI builders.

After nights of development, we’re finally open-sourcing TFrameX, a powerful AI agent communication and coordination library.
TFrameX lets you:

🤖 Run agents in dynamic flows
🔁 Compose reusable patterns like Sequential, Parallel, Router, and more
🧠 Enable agent-to-agent collaboration and delegation
⚡ Build modular, complex multi-agent systems that just work

👉 GitHub: TFrameX
https://github.com/TesslateAI/TFrameX

But we didn’t stop there.

We also built a sleek visual builder to design, deploy, and debug your agent patterns without writing boilerplate!

🧩 Visual Studio for TFrameX: https://github.com/TesslateAI/Studio

If you’re building agent frameworks, LLM tools, or agentic apps, TFrameX gives you the tools to move fast and reason deeply.
smirki 
posted an update 5 months ago
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I was able to make a demo dashboard application with my react model through prompting. You can play with it here: Tesslate/Tessa-T1-14B

http://playcode.io/2309196

What my react model made (prompted each file individually)
Ex.
Create a React component named Header that accepts the following props:

logo (string): the URL to the logo image

title (string): the title text to display

menuItems (array of objects): each object should contain a label (string) and href (string)
The Header should render a logo (an <img>), the title (e.g., in an <h1>), and a navigation menu with links. The component should be responsive with a mobile menu option. Export it as the default export.

It should be one of the coolest things I've ever seen. Have it have a search and profile login and almost every feature that is really nice in a header. It should be framer level quality.


And a final prompt:
Construct a React component named Dashboard that integrates the Header, Sidebar, MainContent, and Footer components. (These should all be imports) This component should:

State Management: Maintain a state variable activeTab (string) using React’s useState hook, defaulting to an initial value (e.g., 'dashboard').

State Propagation: Pass activeTab and a state update function (e.g., setActiveTab) to the Sidebar component via the onTabChange prop. Also pass activeTab to MainContent so that it knows which content to render.

Layout: Arrange the components using a responsive layout. Place the Header at the top, a flex container for the body with the Sidebar on the left and MainContent on the right, and the Footer at the bottom.

Styling: Use inline styles or CSS classes for basic layout structure (e.g., flexbox, grid). Export Dashboard as the default export.


smirki 
posted an update 5 months ago
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Introducing a SMALL Reasoning React Model with State!
We did this by introducing a new form of reasoning that aligns with UI principles to do a layer of testing. For example:
"Looking back at all these pieces, we've considered state management, data structures, core functionalities etc"
And it comes in all sizes. Great for agents!
Tesslate/tessa-t1-react-reasoning-model-67e0fb72ca23e04473885c0e
Tesslate/Tessa-T1-14B
https://huggingface.co/smirki/Tessa-T1-14B-Q8_0-GGUF
Tonic 
posted an update 6 months ago
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🙋🏻‍♂️Hey there folks,

Did you know that you can use ModernBERT to detect model hallucinations ?

Check out the Demo : Tonic/hallucination-test

See here for Medical Context Demo : MultiTransformer/tonic-discharge-guard

check out the model from KRLabs : KRLabsOrg/lettucedect-large-modernbert-en-v1

and the library they kindly open sourced for it : https://github.com/KRLabsOrg/LettuceDetect

👆🏻if you like this topic please contribute code upstream 🚀

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Tonic 
posted an update 6 months ago
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Powered by KRLabsOrg/lettucedect-large-modernbert-en-v1 from KRLabsOrg.

Detect hallucinations in answers based on context and questions using ModernBERT with 8192-token context support!

### Model Details
- **Model Name**: [lettucedect-large-modernbert-en-v1]( KRLabsOrg/lettucedect-large-modernbert-en-v1)
- **Organization**: [KRLabsOrg]( KRLabsOrg )
- **Github**: [https://github.com/KRLabsOrg/LettuceDetect](https://github.com/KRLabsOrg/LettuceDetect)
- **Architecture**: ModernBERT (Large) with extended context support up to 8192 tokens
- **Task**: Token Classification / Hallucination Detection
- **Training Dataset**: [RagTruth]( wandb/RAGTruth-processed)
- **Language**: English
- **Capabilities**: Detects hallucinated spans in answers, provides confidence scores, and calculates average confidence across detected spans.

LettuceDetect excels at processing long documents to determine if an answer aligns with the provided context, making it a powerful tool for ensuring factual accuracy.
smirki 
posted an update 6 months ago
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Hey! What kind of models do you guys want to see?
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smirki 
posted an update 6 months ago
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Please join my discord! I can answer any questions, talk about news and updates, or even just talk about ai, and take your feedback!
https://discord.gg/DkzMzwBTaw
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smirki 
posted an update 6 months ago
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UIGEN for Tailwind v4 is coming soon!
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Tonic 
posted an update 7 months ago
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🙋🏻‍♂️hey there folks ,

Goedel's Theorem Prover is now being demo'ed on huggingface : Tonic/Math

give it a try !
Tonic 
posted an update 7 months ago
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🙋🏻‍♂️ Hey there folks ,

our team made a game during the @mistral-game-jam and we're trying to win the community award !

try our game out and drop us a ❤️ like basically to vote for us !

Mistral-AI-Game-Jam/TextToSurvive

hope you like it !
Tonic 
posted an update 7 months ago
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🙋🏻‍♂️ Hey there folks ,

Facebook AI just released JASCO models that make music stems .

you can try it out here : Tonic/audiocraft

hope you like it